By Vadim Lander, Identity Security CTO & Distinguished Engineer – Identity in general is an area that is integral to everything customers do when building products and services or interacting directly with their customers. Everything you do requires your identity to be known at various levels of assurance: logging into a computer, banking transactions, cell phone apps, etc.
By George Trujillo, Principal Data Strategist, DataStax – Innovation is driven by the ease and agility of working with data. Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data. It’s the only way to drive a strategy to execute at a high level, with speed and scale, and spread that success to other parts of the organization. Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy.
Today’s consumers regularly buy everything from daily groceries to new cars online or through an app, and they expect fast delivery — even within an hour, in many cases. If you can’t meet this demand, your competitors will. Luckily, artificial intelligence and machine learning can help ease your transition.
If you’re looking to accelerate your organization’s digital transformation, the good news is that there are some proven principles you can apply. Learn from leading enterprises in these real-world examples.
It’s 2022: why can’t you remotely monitor calls in real-time as if you were walking the contact center floor? What’s stopping you from ensuring high Quality of Service (QoS) regardless of where your agents work or what their setup looks like?
By Patrick McFadin, DataStax – When the gap between enterprise software development and IT operations was bridged 15 or so years ago, building enterprise apps underwent a radical change. DevOps blew away manual and slow processes, and adopted the idea of infrastructure as code. This was a change that upped the ability to scale quickly and deliver reliable applications and services into production.
By Thomas Been, DataStax – DataStax set out to identify enterprises and builders that define the future of data and have planned and prepared to scale to whatever demand their growing businesses and customer bases place upon them.